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Royal Society of Chemistry, Nanoscale, 2021

DOI: 10.1039/d1nr03232a

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Deep learning-based denoising for improved dose efficiency in EDX tomography of nanoparticles

Journal article published in 2021 by Alexander Skorikov, Wouter Heyvaert ORCID, Wiebke Albecht ORCID, Daniël M. Pelt ORCID, Sara Bals ORCID
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

Denoising elemental maps of nanoparticles using an artificial neural network trained on simulated data allows for a drastic reduction in acquisition time and electron dose requirements for EDX tomography of nanoparticles.